Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Optimal electromagnetic hybrid negative current compensation method for high-speed railway power supply system

1. School of Electrical Engineering, Wuhan University, Wuhan, Hubei, China 2. School of Resource and Environment Science, Wuhan University, Wuhan, Hubei, China 3. Department of Advanced Technology Fusion, Saga University, Saga, Japan 4. Electrical and Computer Engineering, Ohio State University, Columbus, OH, USA

Fund Project:

National Key Technology Support Program (No.2013BAA02B00), National Natural Science Foundation of China (No.50807041), Asia Pacific Economic Cooperation Fund, Hubei province science and technology support program (No.2014BAA013), the Fundamental Research Funds for the Central Universities (No.2042014kf0233) and the Fundamental Research Funds for the Central Universities (No.2014207020202).

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    To achieve economical compensation for the huge-capacity negative sequence currents generated by high-speed railway load, an electromagnetic hybrid compensation system (EHCS) and control strategy is proposed. The EHCS is made up of a small-capacity railway static power conditioner (RPC) and a large-capacity magnetic static var compensator (MSVC). Compared with traditional compensation methods, the EHCS makes full use of the SVC’s advantages of economy and reliability and of RPC’s advantages of technical capability and flexibility. Based on the idea of injecting a negative sequence, the compensation principle of the EHCS is analyzed in detail. Then the minimum installation capacity of an EHCS is theoretically deduced. Furthermore, a constraint optimization compensation strategy that meets national standards, which reduces compensation capacity further, is proposed. An experimental platform based on a digital signal processor (DSP) and a programmable logic controller (PLC) is built to verify the analysis. Simulated and experimental results are given to demonstrate the effectiveness and feasibility of the proposed method.

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  • Online: January 22,2016
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